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Senior Machine Learning Engineer

WPPCopenhagenTechnology & Innovation
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Salary
Not listed
Job type
Full-time
Posted
4 Sept 2026
Status
Open · checked 7d ago

About this role

WPP is seeking a Senior Machine Learning Engineer for a hybrid position based in Copenhagen to build robust data and ML infrastructure for the Open Intelligence division. This opportunity is ideal for an experienced platform or software engineer looking to support next-generation marketing technologies and global AdTech systems.

Role Overview

As a Senior Machine Learning Engineer at WPP, you will operate within the Open Intelligence activation team in Copenhagen. This group focuses on the intersection of audience insights, advertising technology, and data science. You will collaborate with data scientists and engineers to transform research models and experimental workflows into reliable, scalable production systems. The role involves designing cloud architectures that handle massive global data flows, currently expanding across EMEA and APAC regions. You will help resolve operational bottlenecks, improve platform reliability, and champion robust engineering standards across the team.

Key Responsibilities

Design, construct, and maintain scalable cloud infrastructure that reliably supports machine learning and data workloads, primarily utilizing GCP.
Partner directly with data scientists and engineering peers to convert research prototypes into dependable, production-ready components.
Build and optimize data platforms focusing on operational maturity, high availability, observability, and scalability.
Detect and eliminate technical debt, platform inefficiencies, and performance bottlenecks across infrastructure components.
Drive engineering excellence by contributing to automation, version control, testing strategies, CI/CD pipelines, and repository management.
Engage actively in technical discussions, cross-functional knowledge sharing, and ongoing team improvements.

Requirements

Bring four or more years of professional experience in platform engineering, infrastructure engineering, data engineering, or large-scale software development.
Demonstrate strong practical programming capabilities in Python and SQL.
Possess hands-on experience designing and running production systems in major cloud environments such as GCP, AWS, or Azure.
Maintain familiarity with core machine learning frameworks including PyTorch or TensorFlow.
Show working knowledge of MLOps tools such as MLflow or Kubeflow.
Understand modern development best practices including API design, version control, CI/CD, and software testing.
Display a strong desire to build automated, dependable platforms that empower advanced AI workloads.
Exhibit a collaborative, cross-functional mindset suited for a fast-paced engineering organization.

Nice to Have

Exposure to data orchestration and processing tools such as Apache Spark, Flink, or Airflow.
Experience working with deployment and containerization tooling like Docker and Kubernetes.
Proficiency in strongly typed programming languages such as Java, Go, or C++.
Curiosity regarding the application of AI coding assistants to boost team productivity.

Skills and Tools

Python
SQL
PyTorch
TensorFlow
GCP, AWS, Azure
MLOps Tools (MLflow, Kubeflow)
Docker and Kubernetes
CI/CD and Automation

About the Company

WPP acts as a trusted growth partner for leading global brands by combining media intelligence, data solutions, creativity, and enterprise technologies. Powered by the WPP Open platform, the company reaches more than 100 markets worldwide with specialized local expertise. The Open Intelligence division operates at the cutting edge of AdTech and data science, driving large-scale digital initiatives and fostering a culture centered on belonging, continuous learning, and creativity.

How to Apply

Interested candidates should review the position details and submit their application directly through the official WPP company careers page.

Skills and tech stack

PythonPyTorchTensorFlowSQLAWSGCPAzureKubernetesDockerJavaSparkC++MLOpsAirflow

Questions candidates ask

Is this a remote or hybrid position?

This is a hybrid role based in the Copenhagen office, with teams generally working on-site around four days a week.

What level of experience is required for this role?

Candidates must have 4+ years of professional experience in infrastructure engineering, platform engineering, data engineering, or large-scale software engineering.

Does WPP provide relocation support for this position?

Relocation support is not provided. Candidates must currently reside in Denmark or be willing to relocate independently.

What primary cloud environment does the team use?

The infrastructure is primarily built and operated on Google Cloud Platform (GCP).

What department is this role situated within?

This role is part of the Technology & Innovation department, specifically within the Open Intelligence activation unit.

Ready to apply?

The application is on the official WPP careers page.

Apply on company site